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magic_lobster_party @ magic_lobster_party @kbin.run
Posts
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624
Joined
1 yr. ago

  • There has been instances of popular and well meaning projects become hijacked by hostile actors. A recent notable example is xz, but there’s also event-stream npm package a few years ago that got infected with Bitcoin stealing code.

    Just because a protect looks good now doesn’t mean it won’t turn bad in the future.

    And not only would you need to audit the project. You also need to audit all of its dependencies as well. The xz vulnerability made it in to SSH. Who would think about looking into xz for vulnerabilities?

    The amount of effort it would take to fake this for very little benefit is enormous.

    The benefit of installing back doors can be enormous.

  • Nobody would read it even after it was published. No scientist have time to read other’s papers. They’re too busy writing their own papers. This mistake probably made it more read than 99% of all other scientific papers.

  • It’s quite often I have to second guess whether the code is correctly intended or not. Is this line supposed to be part of this if block or should I remove that extra indentation? It’s not always entirely obvious. Extra troublesome during refactors.

    In other languages it’s always obvious when a line is incorrectly indented.

  • A property can have the wrong indentation and it would still be a syntactically correct yaml. It’s hard to distinguish whether a line is wrongly indented or not. Copy and paste a line and mistakenly use the wrong indentation, and the entire production breaks.

    In json it’s much harder to do similar mistakes.

  • I would imagine a similar result. Like how the word “cartoon” activates one particular feature. And if you identify this feature you can control the level of “cartooniness” by tweaking the particular feature.

  • The Future Rule

    Jump
  • This doesn’t sound like a thing enterprises are going to accept. It’s like spyware but with extra buzzwords.

    I know people here love Linux, but I think most IT departments in the world would go for Apple first.

  • Google. I usually find what I want with it, although it has gotten worse over time.

    I tried DDG a few years ago and only found it worse. Like, there was a clear performance impact with me using DDG vs me using Google.

  • The article is about using computers to discover new conjectures (mathematical statements that are not yet known to be true or false). The conjecture can be then later be formally proven (or disproven) by humans.

    Sounds like a good match for me. Formulating conjectures is about finding an interesting pattern and argue that this pattern holds true. Computers are getting increasingly better at pattern matching, so why not use them?

    Title is a bit clickbaity by calling it AI.